Member of Technical Staff - Applied AI Engineer

Valthos; San Francisco, New York (CA, NY); On-site; USD 120,000 - 150,000; Full time

Job summary

A pioneering AI company in San Francisco seeks a skilled Applied AI Engineer to develop and apply ML methods for biological threats. You will build modeling approaches and collaborate with biologists to create datasets, along with visualizing results. Applicants should have strong Python skills, experience with deep learning libraries like PyTorch, and familiarity with cloud platforms such as AWS. This full-time role offers a dynamic environment focused on innovation and addressing real-world challenges.

Qualifications

• Experience with data-centric development and evaluation of ML models.
• Highly proficient in Python and deep learning libraries like PyTorch.
• Experience with cloud computing platforms such as AWS.

Responsibilities

• Contribute to research and development roadmap.
• Develop modeling approaches for biological security.
• Collaborate with computational biologists on datasets.

Skills

Data-centric development

Python proficiency

Deep learning libraries

Cloud computing platforms (AWS)

Probability and statistics

Tools

PyTorch

AlphaFold

Job description

Member of Technical Staff - Applied AI Engineer

Valthos | Posted Mar 3

Full-time

Negotiable

Advanced (5-10 yrs)

Valthos Inc. Valthos is an applied biological intelligence company. We build and deploy software and biological AI systems to safeguard humanity.

Applied AI Engineer Valthos is an applied biological intelligence company. We build and deploy software and biological AI systems to safeguard humanity. The same AI architectures that enable self-driving cars, land rockets with precision, and deliver expert-level reasoning are beginning to be deployed in biological design. To stay ahead, we must advance our arsenal of tools to capture and design against real-time sensitivities in nature’s evolving mutational landscape. We are a group of mission-driven software engineers from Palantir and applied biological ML engineers from MIT’s Broad Institute and DeepMind making the latest advances in computational biology accessible in the real-world for federal and commercial use. We are seeking a highly skilled, data-centric AI Engineer to develop and apply state-of-the-art ML methods for assessing and responding to biological threats and for rapidly designing precision biologics.

The Role

• Contribute to crafting and executing on the Valthos-wide research and development roadmap
• Develop, build, and apply modeling approaches—including adapting and post-training biological frontier models—for tasks in biological security and the design of precision biologics
• Develop, build, and apply evaluation frameworks to rigorously assess model performance on key tasks
• Interrogate models to understand their biological learnings, capabilities, and limitations
• Collaborate closely with computational biologists to understand the signal and artifacts inherent in biological data, and to create and curate datasets
• Collaborate closely with software engineers to build, deploy, and scale model training and evaluation infrastructure
• Visualize and communicate results within Valthos and externally
• Work with customers and external collaborators to understand their needs and be an effective representative of Valthos
• Embrace learning about areas—technical and non-technical—across Valthos
• Stay up-to-date on the state-of-the-art methods at the intersection of AI and biology

Qualifications (required)

• Experience with data-centric development and evaluation of ML models
• Highly proficient in Python and deep learning libraries (e.g., PyTorch)
• Experience with cloud computing platforms (e.g., AWS) and distributed systems
• Strong understanding of probability and statistics

Qualifications (preferred)

• Proven ability to design, implement, and evaluate new ideas in MLExperience with pre- or post-training language models, developing reasoning agents, and/or time series modeling
• Experience working with biological data or other types of noisy and heterogenous datasets
• Experience with ML-centric bioinformatics and structure-based tools (e.g., AlphaFold)
• Experience building data pipelining and training infrastructure
• Contributions to open-source projects

If there is a fit, we'll schedule two technical interviews. The final step is an onsite in our office, where you'll work on a small project, discuss ideas, and work with the wider team.

About the company

Valthos